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Top 21 Python Interview Questions to Hire Python Developers

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The demand for Python has surged consistently since 2018 and companies are coming up with some great Python interview questions to hire the best talent. The TIOBE index for Python has jumped from 3.78 to a whopping 15.74, and TIOBE index for Python jumped from 3.78 to a whopping 15.74, but it was also declared the language of the year in 2018, 2020, and 2021!

python interview questions

After all, it forms the core tech stack in artificial intelligence (AI), machine learning (ML), deep learning (DL), data visualization, DevSecOps, and data analytics, data science – some of the most up-and-coming technologies.

Naturally, the rising demand for the Python language also resulted in a frantic search for capable Python developers with knowledge of function in python, python write a program, and data types in python.

But before, reaching to Python developer Interview round, you must curate ideal Python developer resumes for accurate hire, check out their Python skills, and so on.

As businesses ramp up to mitigate talent shortage, using these hiring techniques including the right set of Python interview questions would play a massive role in finding the right fit for your organization.

Asked Python Interview Questions like which software is best for python programming, the importance of indentation in Python, fundamental features of Python, function in Python, and other python coding questions are some of the basic python interview questions and answers.

On that note, we are going over 21 crucial asked Python interview questions, python coding questions and answers, python programming interview questions and so on that can help you meet your final Python developer recruitment goals.

Why Do You Need a Python Interview Question Guide to Hire the Right Talent?

Before we hop right into the Python interview questions, allow us a moment to explain the why behind them.

After all, you might already be itching to know the relevance or the importance of the Python developer interview questions that we’re about to discuss. Python programming questions are the best beforehand list any recruiter or employee ever has. It helps you to gain an understanding of basic python developer skills and majorly the developer has adequate knowledge of how to write a program.

There are major highlights on Python developers for why you should hire them for the tech business.

As talent management experts, we have held our fair share of frequently asked Python interview questions. And in our experience, Python interviews including Python interview questions and answers are often a make-or-break situation that plays a clinching role in recruitment.

You are not just focusing on the candidate’s technical skills or soft skills but getting a top-level overview of every Python developer key skills like their subject matter knowledge, ability to comprehend and articulate, personality, and logical and analytical abilities.

As such, having the right set of Python interview questions at hand will ensure that everything you ask is deliberate and serves a well-defined purpose.

In simple words, Python interview questions make every interaction count, which maintains the efficiency and efficacy of your efforts in the recruitment cycle.

So, now that you understand the reasoning behind maintaining a list of Python interview questions, let’s explore the ones that matter!

Further in your reading, you’ll explore Python mid-level interview questions, python interview questions for experienced, and Python interview questions for freshers.

Top Python Interview Questions to Ask While Hiring

Not all Python interview questions are alike. Obviously, the Python junior developer interview questions would be vastly different from that of senior Python developer interview questions since their Python developer skills also differ.

Similarly, the Python backend developer interview questions would not be the same as the ones you ask a front-end developer. Cause Python is the major programming language as per the TIOBE index python tech interview questions consist of basic questions on python that will ultimately help the recruiters to choose the right one!

Hence, we have classified our list of top Python interview questions based on skill and expertise for three levels: entry-level, mid-level, and senior-level. With this in mind, let’s check them out one by one.

Entry-Level Python Interview Questions

Someone who is eyeing an entry-level position as a Python developer must have a clear idea of Python’s syntax structures and how they vary.

They should also have a fair amount of knowledge of the different algorithms, data types in Python, object-oriented programming, functions in Python, and data structures. Data structures form the basic part of any programming. Using the right data structures in Python, one can optimize space as well as time complexity. Accordingly, you can base your Python interview questions along these lines.

Here are ten entry-level Python interview questions that can get you started:

#1 What are Some Fundamental Features of Python?

This Python interview question explores the very basics of the Python programming language. It is most likely similar to python basic interview questions and answers.

Some key features that you must seek in the answer are:

  • Open-Source: Python is free to download, and since the source code is publicly available developers can also share it at no cost.
  • Easy to Learn and Read: It is a developer-friendly language that follows a simple syntax, which makes it easy to learn, read, and code.
  • Interpreted: Python executes line-by-line, as such, there is no need to compile it.
  • Object-Oriented: Python is an Object Oriented Programming language. Inheritance, Class, Object, Polymorphism, and encapsulation in Python make it different from the functional programming language.

Encapsulation in Python ensured the wrapping of data and methods together. Python also supports multiple inheritances. Multiple inheritances ensure a class in Python can inherit from more than one base class. Let’s checkout the output of the following.

Example of Multiple Inheritances-

python table

  • High-Level: Python Developers do not have to remember the system architecture or manage the memory.
  • Portable: It is a highly portable language as it is platform-independent.
  • Integrated: It is possible to integrate Python with other languages like C, C++, etc. This characteristic also makes it extensible.

#2 What are Python Modules? Name Some Popular Ones.

Python Modules are files containing executable Python codes. Breaking down a monolithic code into smaller units makes it modular, readable, efficient, and easier to debug.

Python interview questions

Some commonly used Python modules include:

  • PMW, PyGObject, wxPython, WCK, etc. – for graphical interfaces
  • SQLAlchemy, KInterbasDB, MySQLdb, Gadfly, etc. – for databases (focus: Python backend developer interview questions)
  • Selenium, scrape, Google Maps, requests, pyquery, etc. – for web development (focus: Python front-end developer interview questions)
  • Python Imaging Library, MoviePy, pyscreenshot, GDmodule, VideoCapture, etc. – for image and video manipulation
  • pySonic, PyMedia, PMIDI, Mutagen, etc. – for sound manipulation
  • Numpy, SciPy, Pandas, Matplotlib, etc. – for data science and mathematical computations
  • Pygame, pyOpenGL, Pyglet, etc. – for game development

The answer to this Python developer interview question can be modified depending on your project requirement.

#3 Is Python Case-Sensitive?

Yes, Python is a case-sensitive language, which means that it treats uppercase and lowercase levels differently. This Python interview question will let you know if your Python developer can differentiate between variable a and variable A.

#4 What is the Importance of Indentation in Python?

Indentation is more than a cosmetic or readability feature of Python, it is a core concept that will return a failure statement when not followed.

It utilizes four spaces to separate blocks of code and helps developers specify a block within a class, function, or loop.

#5 What is the Use of Break, Continue, and Pass?

This Python interview question will shed light on the developer’s ability to work with loops. The primary use of these statements is given below:

  • Break: Terminates the loop and moves to the next statement.
  • Continue: Rejects the subsequent statements of a loop and reverts the control to the top.
  • Pass: Bypasses a block of code that is needed for syntax purposes.

#6 How Would You Define Python Literals? Can You Share a Few Examples?

Once again, this Python developer interview question tests the fundamentals of Python. A literal is a direct and simple form of expressing a value.

Some common Python literals include:

  • String literals: A series of characters or text wrapped in a set of single, double, or triple quotes. Eg: “Hello”
  • Numeric literals: Unchangeable numbers that can be categorized as integer, complex, or float. Eg: 5 (integer), 8i (complex), 3.14 (float)
  • Boolean literals: Indicating ‘0’ (false) or ‘1’ (true)
  • Special literals: Signifies that a particular field is not created. Eg: ‘None’

#7 Can You Explain What a Namespace is?

Namespace in Python refers to the naming system used in Python to ensure that every object receives a unique name. It is implemented through the Python dictionary.

Some common namespace in python is:

  • Global namespace: It stores the names of the imported modules that are in use. It is formed when the module is added and is discarded once the script is complete.
  • Local namespace: It stores the local names of functions. It is invoked when a function is called and lasts with the function.
  • Built-in namespace: It contains built-in functions and exceptions.

#8 What is the Difference Between Python Scope and Namespace in Python

The concept of scope in Python is closely related to the concept of the namespace. As you’ve learned so far, a Python scope defines where a name appears in your Python program.

Python scopes work as dictionaries that map names to objects. These dictionaries are popularly known as namespaces. These are the conceptual mechanisms that Python uses to store names.

Names at the module’s top level are stored in the module’s namespace. In other words, they are saved in the . dict__ attribute of the module.

Look at the output of the following:

python tables

#9 Define the Interpreted Language

An Interpreted programming language executes its code line by line.  Python, Javascript, R, PHP, and Ruby are all examples of interpreted programming languages.

Programs written in an interpreted language execute directly from the source code, with no compilation step in between.

#10 Define Scope in Python.

Every object in Python has its own scope. In Python, a scope is a block of code where an object remains relevant.

All objects within a program are uniquely identified by namespaces. These namespaces, however, have a defined scope, enabling you to use their objects without any prefixes.

Here are a few examples of Python scope created during code execution:

  1. A local Python scope available in the current function is referred to as local scope.
  2. A global Python scope refers to the objects that have been available throughout the code execution since their inception.
  3. A module Python scope refers to the global objects of the current module that are accessible in the program
  4. An outermost scope covers each of the program’s built-in names.

Asking such questions while hiring Python developers can genuinely help you meet the right and most skillful candidates.

Mid-Level Python Interview Questions

A mid-level Python developer will have some amount of experience and practical exposure to Python and its modules in python.

You can accordingly curate the mid-level Python questions and answers according to the profile against which you are hiring.

We have seven such mid-level Python interview questions that can get the ball rolling. 

#11 What Do You Understand by PYTHONPATH?

PYTHONPATH is an environment variable that developers use to add (and maintain) additional directories without installing them in the global default location.

It achieves this by creating additional folders to the sys.path directory list of program in Python where it can look for modules and packages.

#12 Have You Used the Re Module? What are the Three Main Functions Available in it?

Re (Regular Expression or RegEx) is a built-in module that helps with expression matching and contains three main functions. These are:

  • sub(): It evaluates patterns and calls a method for every regex match to replace it.
  • subn(): It functions like sub() but returns a tuple having a count of a total of all substitutions, along with the new string.
  • split(): It generates regex matches after breaking down the string along the defined separator. 

This Python interview question would be super helpful if you are looking to define search patterns while extracting data from text.

#13 What Do You Mean by Iterators in Python?

Iterators are objects that contain countable values that can be iterated upon, namely, lists, sets, tuples, and dicts. This means that you can traverse through the different values, and it will remember its state at various points.

It is initialized using iter() and uses the next() method for iteration to the next element. The object__next__() puts an end to the iteration by returning the StopIteration exception.

#14 Python Lists vs. NumPy Arrays – What Do You Prefer?

This Python developer interview question sheds light on their coding style.

Python arrays and lists

Python list is an ordered and changeable collection that is written within square brackets. The list can be homogenous or heterogeneous.

It is one-dimensional by default and can be nested to form N dimensions. They come with benefits like concatenation, item deletion, item insertion, or appending. 

NumPy or NumPy array is a Python module that supports the use of arrays for advanced mathematical computations.

You can use it to create N-dimensional arrays that are homogenous by default. It comes equipped with several functions, methods, and variables in python for effortless matrix computation.

While answering this Python interview question, the candidate should display an inclination toward NumPy array as they are far faster and more efficient and utilize minimal code.

#15 Can You Explain Monkey Patching in Python?

Monkey patching refers to the dynamic editing of a class or module during run-time, which changes the code behavior. 

#16 Please Highlight the Differences Between Flask, Django, and Pyramid.

Flask, Django, and Pyramid are three extremely popular Python libraries. Here are a few talking points that the answer to this Python interview question must cover:

  • Flask is a micro-framework having fewer requirements, while Django and Pyramid are large-scale Python frameworks.
  • Flask is typically used to develop small applications whereas Django and Pyramid are used to build more complex applications.
  • Pyramid is far more configurable than Django.
  • Django relies on the model-view-controller (MVC) architecture and includes an ORM.

#17 Have You Used Python Documentation Strings? 

This Python developer interview question will lend insight into the coding practices followed by the candidate. Python is an interpreted programming language that requires a developer to learn Python code, Python data types, and strings. We are going to discuss string in Python.

Python documentation strings (or docstrings) are essentially comments assigned to modules, classes, functions, and methods. They make use of triple quotes rather than hashtags and are not executed.

The use of Python documentation strings indicates adherence to the best Python development practices. 

Senior Python Developer Interview Questions

When hiring senior-level Python developers, you must assess their ability to visualize Python code as a part of a larger project.

They must also have some familiarity with front-end and back-end technologies. We have compiled seven excellent Python senior developer interview questions to ask an aspirant.

#18 Explain Pickling and Unpickling in Python.

Pickling pertains to the serialization of Python objects into a string (or any other format) so that they can be persisted on storage or transmitted through a network.

Unpickling refers to the restoration of pickled string into the original object.

#19 Compared to Java, How is Exception Handling Differently in Python?

Python follows a try-except approach, which allows developers to view the error in the code without terminating its execution.

In some cases, it may even suggest ways to resolve the problem. Python follows two types of try-except, namely, try-except-finally and try-except-else.

#20 What is the Process of Writing Functions in Python?

Developers can create functions in Python by following the steps below:

  1. Declare the function by entering the keyboard def followed by its name.
  2. Write the arguments within the open and close parentheses of the function and end it with a colon.
  3. Add the program statements that will be executed when the function is called.

#21 How Would You Programmatically Check the Python Version in Use?

The developer can check the Python version using the sys module. The code for this would be:

import sys

print(sys.version)

Here Are Some Bonus Python interview questions For You

#22 How Can You Generate Random Numbers in Python?

Python supports several functions to generate random numbers, some of these are:

  • random() – generates a floating point number between 0 and 1.
  • uniform (X, Y) – generates a floating point number between X and Y.
  • Randint (X, Y) – generates a random integer that lies between X and Y.

#23 Can You Differentiate Between Wheels and Eggs?

While this Python interview question sounds bizarre to a layperson, a capable Python developer would jump at this opportunity to explain how Wheel and Egg packaging formats bypass the compilation of install artifacts.

The key differences between the two include:

  • The wheel is newer and is a standard recommendation for Python developers.
  • The wheel is used for packaging (distribution), while Egg is used for distribution and installation.
  • Wheel specifications have been versioned while Egg specifications have not.
  • Wheel requires PEP-376 compliance whereas Egg does not have an official PEP and uses egg.info.
  • Wheel enjoys robust naming conventions while Egg has limited naming conventions.

#24 What is PEP8? Do You Think it is Worth Following?

PEP or Python Enhancement Proposal is a document explaining the latest key features of Python introduced and standard practices recommended for Python. The latest PEP document is the PEP 693 released in May 2022.

Difference between PEP8 and PEP693

PEP 8 is a style guide created in 2001 to codify Python development to make it more readable, manageable, and consistent. The answer to the second half of this Python interview question should be a resounding yes.

Want to Avoid Hassles While Hiring Python Developers?

While the above Python interview questions and python interview coding questions sure do help streamline the process, hiring Python developers is a lot of work.

There are a few more Python developer interview questions that you can ask like- the difference between python arrays and lists, lambda function, python built in data types, global variables in python, empty class in python, dataframes in pandas, and so on.

The transition from sourcing to technical assessment using python technical interview questions to interviewing can be quite demanding and resource intensive.

Fortunately, help is right around the corner! If you are looking to dip into pre-vetted, readily available talent on hire then Uplers can help.

Share your requirements with us and we will forward developer profiles accordingly. All you need to ready with python viva questions and the Python interview questions above to find the perfect developer that you need!

11 Major Highlights of 2022 on Python Developers for Hire

11 Major Highlights on Python Developers for Hire in 2022: A Catch Up for Recruiters!

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The Python programming language is seeing a dramatic increase in popularity these days. Major mainstream platforms are developing applications using this language, and all recruiters are searching for new trends to check Python developers for hire. In such a scenario, what should recruiters do to hire the best talent for present and future projects?

With the growth of developmental technology, Python projects are now coupled with innovation in newer fields like artificial intelligence (AI), machine learning (ML), automation, etc. This has made the job of recruiters somewhat difficult as the skillsets of desired candidates have branched into other avenues.

It is not surprising that Python got one of the biggest reputation boosts in 2021, with more libraries, use cases, and companies clamoring to leverage its strong development framework. 

Along with traditional application development, Python developers are now working in the fields of data science, ML, education, data analysis, graphics, cloud computing, and so on. In this article, we will touch upon the top highlights or trends for the Python market in 2022.

These trends directly impact hiring decisions in the market and give recruiters an insight into the skills they need to search for, while considering Python developers for hire.

Python Developers - Top In-Demand Professionals of 2022 & Beyond

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Top 11 Trends and Highlights on Python Developers for Hire in 2022

A programming language that started as an homage to Monty Python is now one of the most used languages in the world of application development, designing, analytics, and ML. There are several job roles for Python professionals in a variety of industries globally.

Its ease of learning and versatile applications make it the language of choice for software development. But apart from traditional software design and development, Python has been trending for many other reasons. 

Here, we’ll look at the 11 major highlights of Python development that recruiters and talent managers should keep in mind while making hiring decisions.

#1 – The future of several technologies is Python!

Several major companies like Google, Spotify, Dropbox, Instagram, and NASA use Python as their primary coding language. Reports say that Python was the most popular programming language globally in 2020. This was echoed by the Popularity of Programming Language Index, which shows a 28.38% share of Python among all other languages, including Java, C, Ruby, etc.

  • There are a number of job postings related to Python by almost all popular companies around the world 
  • It is one of the most coveted tech skills in software employees
  • Glassdoor has about 15,000 Python job listings for the global market
  • Forbes reported a 456% growth in Python as a language of choice in the year 2018
  • There are close to 9 million Python developers in the world, more than that of Java
  • Python is moving towards big data and machine learning industries
  • Games and responsive software are being built with Python
  • It works quickly and easily with AI, making it a technology of the future
  • The popularity of Python is expected to increase by another 50% in 2022

Python - The Top Programming Language

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While looking at Python developers for hire, recruiters must keep the above aspects in mind and map the skills of candidates based on the industry applications of this language in the future. For instance, roles like data science experts and educators are increasingly being associated with Python, which must be noted in job listings.

#2 – Data Science is the next big thing!

Data science has seen one of the fastest-growing uses of Python. Due to Python’s easy learning curve and flexibility, it provides a lot of scope for work in the data science field. It can be integrated smoothly with other languages, has several available libraries, and is equipped for large calculations with big data. 

This makes Python the language of choice for a large number of data scientists around the world. For recruiters, this is a crucial thing to consider as people in this field rely heavily on Python skills. Some Python libraries and frameworks that are highly popular and useful in the data science field are:

  • Pandas
  • Tensorflow
  • Keras
  • Scikit-Learn
  • Seaborn
  • Numpy
  • Matplotlib

These libraries facilitate artificial intelligence and machine learning through Python features for a futuristic approach toward integrated professions. 

#3 – Python developers are sought after in the AI field

Python developers must possess machine learning, artificial intelligence, and deep learning as their core skill areas in order to survive in the competitive job market. It is evident that AI will rule the future, with big companies investing heavily in developing intelligent systems to replace human intervention in several areas.

Python is popular as the programming language used to build these AI systems that can interpret human emotions, natural language, and manual actions. Its simple syntax and easy error handling help to build critical processes and AI solutions. 

One of the top Python hiring trends of 2022 has to do with developments in the AI industry. This language is being used to build AI systems with massive data requirements due to its diverse libraries and ease of navigating structured and unstructured data.

For professionals working in this field, familiarity with libraries like Keras, NLTK, and OpenCV is a strong requirement. Candidates must be aware of natural language processing, scientific computing, and other associated areas that are gaining popularity by the day.

It can be tough for recruiters to find such candidates by sifting through thousands of prospects. This is why IT companies are now employing talent sourcing organizations that can help them sort through the best Python coders and find a handful of candidates that perfectly suit the recruiter’s requirements. This makes the hiring process easier and less time-consuming while helping you to find valuable developers who might have been lost in a sea of candidates otherwise. 

#4 – Academic recruiters should watch out for Python developers

At first glance, Python and academics seem like two very different things. But recruiters looking for Python developers for hire must note that academics is a key field associated with this programming language.

It is a great choice for developing academic software as its applications are extremely easy to use. This language is also being taught at various colleges for scholastic reasons and professional applications.

  • Python is highly preferred in colleges, with specific courses designed for learners across the world
  • Career-driver trainings are increasingly including Python as a top topic to focus on
  • Companies are spending money to train their developers in Python
  • Similarly, Python development companies are offering certifications and training programs for new learners

This language is perfect for amateur developers and is easy to learn without assistance as well. However, several recruiters give weightage to Python scholars for niche jobs that involve innovation and research.

#5 – The cloud computing world has integrated with Python

Cloud computing is presently the big thing in the IT world. And Python, as a language, is highly suited for cloud computing. It can be used to compile large amounts of data quickly and securely. Since data security is a big concern in the cloud development world, Python is the language of choice for many.

A major example of this use case is Google. Its enterprise-grade applications use Python for data security, along with major social networks like Facebook. Professionals in the cloud computing and data security fields are also working with Python application development services to maintain cloud servers.

Cloud providers like DigitalOcean and AWS use Python for their dynamic development frameworks and multiple services for cloud computing. Hence, cloud computing is a crucial skill to integrate with the job description while looking for Python developers. 

#6 – Hire Python developers for graphic design apps

This dynamic programming language finds application in the image processing and graphic designing fields as well, with platforms like Paint Shop Pro, Scribus, and Inkspace being built using Python. Not to mention 3D animation programs like Lightwave, Blender, Houdini, Maya, etc., being built with Python as well. 

In the field of application development for graphics platforms, Python has amassed great popularity in 2022. It is great for building prototypes and testing new innovations without having to build everything from scratch. 

Companies working in the image and graphics field would be smart to hire Python experts who can build applications with advanced features, thus providing an edge over the competition. If the hiring process seems complicated, talent sourcing agencies can be tasked with specific requirements to find Python developers for hire in niche roles.

#7 – The gaming world is not far behind!

Recruiters from gaming companies are also on the lookout for Python developers. Popular games like Battlefield and The Sims use Python as the building block. So, gaming enthusiasts should start learning the language if they want to work in this industry for the long haul.

The trend of Python development in the gaming world is new and popular in 2022. It is a great place to start a Python career as it combines skill with interest and can be highly in-demand for younger developers.

#8 – Data analytics and automation with Python

Python lets you automate several tasks in your workflow, thereby eliminating repetitive manual intervention and test cases. Python automation frameworks and libraries include Selenium Python, PyUnit, PyTest, and Robot Framework.

These can be used to address the increasing demands of the IT industry in the area of automation and data analysis. 

Data analyst jobs with Python are one of the most sought-after roles in the job market. More than 50% of developers in the data analysis and automation fields work with Python, and this figure is expected to increase further in 2022. 

Data Analytics & Automation Are Top Trends To Know By Python Developers for Hire

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The future of data analytics is tightly integrated with Python, thus recruitment agencies must pay special attention to Python developers for hire in analyst roles. A proof of this market’s demand is that the data analyst market value is over $10 billion, even though Python is a free and open-source language.  

#9 – Projects involving language and app integration need Python

Hiring professionals must keep interoperability and flexibility into account while designing hiring strategies or conducting interviews. Python collaborates well with other programming languages, and its code can also be integrated for building business applications.

The thing to keep in mind here is that Python rarely works as a single language. Thus, your hires must be able to operate in a multi-linguistic environment to build software platforms. Some aspects to look for in this regard are:

  • Frontend and backend development
  • Data Science
  • Mobile and web application
  • ML and AI
  • Business and commercial application development, etc.

Companies have started hiring professionals who can work in an integrated environment. With the IT industry constantly evolving, the knowledge of Python combined with insights into other languages is a great combination for a competent developer. 

#10 – Machine Learning Engineers are in high demand!

A machine learning engineer is an IT person who works on researching, building, and designing AI-driven systems that can automate predictive models. Job website Indeed.com ranked machine learning engineer as the topmost job in the US in 2019, displaying a 344% growth rate and a median salary of $146,085 per annum.

The employment rate is all set to grow 11% from 2019 to 2029 in the IT field, with a huge chunk focusing on Python-based jobs. ML projects benefit greatly from Python expertise, and recruiters of such companies keep looking for developers well-versed in this language.

A typical Python professional with a job in the ML field should be equipped with these skills:

  • Building and training machines and programs for predictions
  • Navigating algorithms and data automation
  • Studying data science prototypes and schemes
  • Researching online datasets for training purposes
  • Performing statistical analysis and fine-tuning models
  • Training and retraining existing ML frameworks and libraries
  • Developing ML apps based on client requirements
  • Implementing suitable ML tools
  • Analyzing problem-solving capacities of Python-based ML development
  • Studying use cases of ML algorithms and ranking them for success probability

Recruiters and talent sourcing agencies must look for these skills for smart decisions on Python developers for hire since their relevance is only expected to increase based on the current trends.

#11 – Python for building embedded applications

Creating embedded applications using Python is another popular trend in 2022. Since Python is dependent on C, it is useful in creating embedded C software for applications. It also supports high-level applications on small devices with Python-computing capabilities.

A popular embedded application using Python is Raspberry Pi for its cloud computing projects. Python is also used as an embedded board or even a computer for application development.

Python Developers for Hire to Know Building Embedded Applications

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Professionals with Python, C, C++, and database knowledge are being considered for these developmental roles with big companies and startups alike. 

Final Thoughts

While considering Python developers for hire, a smart recruiter always checks the latest industry trends and news to make better decisions. Ever since Python shot up as one of the most popular programming languages in the world, several avenues of hiring possibilities have opened up in different industries. With advanced technologies like AI, ML, data science, and data visualization being integrated with Python development, the popularity of this language will only soar higher.

This is the right time to build a bank of Python talents who can work on new innovations and evolving technologies in the long run. And since many of these skills are new and booming, you might not be able to make informed hiring decisions on your own. In such a scenario, you can partner with top talent sourcing organizations that will do all the grind for you and bring a few shortlisted candidates who are highly likely to fulfill your organization’s needs.

14 Python Developer Skills of 2022 - Hiring Managers to Know!

The Ultimate Python Developer Key Skills Checklist: A Must-Follow Guide for Recruiters

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Python has quickly become one of the most sought after skillsets for businesses in 2022. Recruiters are constantly assessing Python developer skills on job portals to hire the best talent. There are over 83K jobs listed on Indeed for Python developers, and recruiters are willing to pay up to $225K a year to bag the best talent.

Top In-Demand Programming Languages of 2022

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There’s a reason for this – Python is an all-purpose programming language that is being used to develop applications for data science, artificial intelligence, machine learning, neural networks, and other innovative technologies that are in high demand today.

This surge in demand for Python developers has led to many aspirants learning the programming language today. When you begin searching for candidates, you’ll find your inbox quickly flooded with resumes. These candidates will bring a wide range of Python developer skills to the table. So how do you select the best one for your company?

Well, there are skills that some developers have that set them apart from the rest and make them invaluable to the business. When you learn to look in the right place, you will be able to identify these candidates. In fact, we’re going to help you do exactly that by giving you a blueprint of python developer key skills to look for when assessing candidates.

As per recent tech hiring reports, it’s estimated that around 56% of Software developers show less enthusiasm and interest for an open job position after going through a poorly managed interview. In fact, 49% of developers have stated that they will pass on a job if they find that the interviewer is someone with no understanding of the position and its requirements. 

Roles and Responsibilities of a Python Developer

Understanding the core roles and responsibilities of a Python developer within an organization will help you ask the right questions when you interview candidates. The top job openings on Indeed by companies like Morgan Stanley, JPMorgan Chase, Amazon.com, and Cognizant Technology Solutions ask for the following:

    1. Candidates must have a strong understanding of the fundamentals of Python.
    2. Developers will be responsible for finding the best solution for a product requirement using Python’s innate features like libraries. They will also be expected to devise efficient solutions for a great number of NLP-related tasks like topic modeling, word vectors, document classification, part-of-speech (POS) tagging, sentiment analysis, etc., using the extensive collection of NLP tools and libraries. 
    3. The developer will be expected to write quality unit tests, be involved in the test cycle, and create relevant documentation for build-outs.
    4. Managing end-user authorization and client data protection for risk mitigation will also be under the purview of the Python developer.
    5. Expertise in at least one popular Python framework like Django, Flask, or Pyramid is expected.
    6. Should have knowledge of object-relational mapping (ORM).
    7. Basics of front-end technologies like JavaScript, HTML5, and CSS3, along with some knowledge of operating systems like Unix/Linux will be a plus.
    8. Developers must have practical experience with cloud platforms like AWS, Kubernetes, and Microsoft Azure.
    9. Basic database management (SQL, etc.) knowledge will be expected.
    10. The developer must have the skills to build data analytics, reporting systems, and other BI solutions.
    11. Good problem-solving skills and the ability to multi-task are a must.
    12. Developers must be able to work in synergy with a team as well as autonomously.
    13. Strong verbal & written communication skills will help you make an impact in this role.
    14. Experience in agile methodologies and project management platforms like Asana will be a bonus.

It’s evident that what companies are looking for today is not a developer with just a core competency in Python, but an all-rounded individual. Businesses want a developer who has the skills to program using Python, good knowledge of supporting and relevant technologies, and strong interpersonal skills. You should be looking for similar traits when interviewing Python developers.

We analyzed different business requirements and curated a list of 14 skills that make Python developers excellent all-rounded engineers. This list is divided into three categories – Skills specific to Python, competence in supporting technologies, and interpersonal skills.

If the candidate you are interviewing hits most of the boxes on our list, you can be certain they will be a great hire. Enough talk, here’s the list!

14 Python Developer Key Skills to Look for in Your Next Hire

Python Developer Key Skills Required - Uplers

Skills Specific to the Python Programming Language

1. Core Python

Every programming language has elements specific to it. A candidate applying for the post of Python developer should know the basics that make up the language. Basics like common syntaxes, booleans and operators, tuples, loops, iterators, and so on.

These are core elements of the language using which a developer writes programs in Python, and is knowledge a Python developer must obviously have. The first step in assessing the capabilities of a Python developer is by judging their competency in the core concepts.

2. Web Frameworks

Web frameworks are built to enable fast and easy deployment of applications by providing libraries, templates, and other resources for the reusability of code. Businesses generally use web frameworks to get projects off the ground faster, and this means knowing one or more Python frameworks has to be a part of the applicant’s python developer skills.

Django and Flask are the two most popular web frameworks for Python and every Python developer should ideally have the skillset to program on at least one of these frameworks.

3. Object-Relational Mappers

Object-relational mapping (ORM) is a technique used to convert data between type systems. Applications built on Python perform better when using an object database than a relational database, and the program can be designed to use ORM to convert data stored as scalar values in a relational database into objects in an object database.

Knowing how to use ORM libraries will help the developer create virtual object databases and then build the Python app over this database, making it faster to develop, operate and scale. This is definitely an important point on the python developer skills checklist.

4. Python Libraries

One reason why Python is the preferred language for programming is that it makes building applications easy and fast. There are two reasons for this – its ‘readable’ syntaxes and its extensive libraries.

Libraries are bundles of code that can be imported and reused many times throughout the application, making programming simpler and convenient for the programmer. TensorFlow, for example, is an open-source library for machine learning and artificial intelligence. Another example is Matplotlib which is a data visualization and graphical plotting library for Python.

When you interview for the Python developer skills required, the knowledge of libraries and how to use them is something you must assess.

5. Unit Test and Debugging Skills

Unit testing allow developers to test a piece of the source code within the program itself (without needing compilation or front-end user interaction). This allows programmers to debug issues and correct code errors quickly, and is one of the advantages of using Python as a programing language.

The ability to troubleshoot, find issues, and debug them should be innate to every developer and should definitely be a part of the python developer skill set.

Competency in Supporting Technologies

2022 Python Developer Skills Set - Recruiter’s to Pay Close Attention | Uplers

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6. Good Knowledge in Data Science and Building Analytics Programs

Python is the preferred language for building data science products like business intelligence dashboards. Python developers should have the knowledge and skills that data scientists have in order to be good at building BI products. Skills like data visualization, data slicing, machine learning, statistics, and so on. 

Your requirement may not be of a data scientist, but a Python developer who has the skills to work on data science projects is going to be a boon sooner or later. In fact, some of the top Python developer job openings on Indeed are for analytics and data science projects.

7. Artificial Intelligence and Machine Learning Skills

Python is also the preferred language for building AI and ML projects since it has complete libraries (Numpy, Pandas, and so on) dedicated to AI. Knowing how to use libraries and coding to build AI and ML modules and applications, at least at a basic level, is a must-have skill for every Python developer. 

8. Technologies for Front-End Development (JavaScript, HTML5, CSS3)

Python developers may not be involved in building front-end platforms, but it’s important to have at least a basic understanding of languages like HTML, CSS, and JavaScript.

For a product to work optimally, the front-end (often built on HTML, CSS, and JavaScript) and backend (built on Python) platforms need to work in sync, and so do the developers. If you hire developers with some cross-platform knowledge, they will find it easy to collaborate with other teams and provide technical guidance where required.

9. Knowledge of One or More Databases

Like front-end development, database management might be a separate role with a separate team within your org. Since Python applications heavily depend on the database, however, it’s important for the Python developer to know database languages. This will help them build products faster without having a dependency on another developer or team.

10. Cloud Computing Skills

Every business will work with cloud technology in some capacity, and since cloud computing will be used for applications, it will be greatly beneficial to hire a Python developer who has some experience or knowledge in cloud technologies like AWS or Microsoft Azure.

Interpersonal Skills to Evaluate for Every Python Developer 

11. Logical Thinking and Problem-Solving Skills

The ability to think logically is a critical skill set for any developer. Programming Python modules involves understanding the end requirement and then piecing together code to achieve that end result. Hence, Python developers need to be able to analyze problems and derive solutions using code, and this requires logical thinking.

12. Basics of UI and UX Design

Although front-end design (UI and UX) is a separate skill set, it’s an added advantage if developers have some level of design competency. They can then be a part of the ideation phase when the product is being conceptualized and designed.

Design and development are often conducted in silos, one focusing on aesthetics and one on functionality. But for the product to take form, the two have to come together. It helps if Python developers understand basic design concepts like color theory, layout principles, and so on.

13. Communication Skills

The skill to communicate effectively is a requirement regardless of industry or role. Developers should be able to simplify technical terms and make their point. This is especially needed when collaborating with non-technical members of the team as well as clients or stakeholders. 

Miscommunication between team members can escalate into delays and bugs in the project. The developer should, necessarily, be able to comprehend what’s being asked of them and also communicate their points clearly.

14. Collaborative Skills

A product is not built by one Python developer but by a team of highly skilled developers and engineers. There has to be synergy among members of the business to ensure the product is completed on time, and bug-free.

This need for synergy is amplified today with major parts of the workforce working remotely. The developers you hire need to have the skills to collaborate and work in a team, with consistent communication.

Pro Tip

Did you know poorly structured/conducted interviews can lead to bad hires? As per Gartner’s research report, the average cost of candidate replacement amounts to 1-3 times the annual salary of a job, combining the extra time and resources spent on hiring and onboarding. To avoid this scenario, it is always recommended to focus on assessing candidates based on their skill-first competencies – ones that are hard to train yet important for the position and organizational fit.

Hiring the Best Talent From a Sea of Candidates

In a recent article that we published, we identified a trend in the US hiring market. There is a high demand for Python developers but not enough talent to fulfill this demand. The talent shortage is, in fact, an issue across industries in the US. An article by Forbes stated that the talent shortage in the US has tripled over the last 10 years and 69% of employers are struggling to fill positions.

Talent Crunch to Review - Recruiters Guide | Uplers

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So your job posting might get a lot of interest but you may not be able to lock in the best Python coders. This is due to the competition among businesses looking to hire from a limited pool of developers available only within the US.

There’s a solution to this dilemma, and that is remote hiring. Remote hiring pulls down geographic barriers and allows you to tap into a much larger resource pool of Python developers. You get access to developers in countries like India where there is high availability of skilled developers and the pay scale being demanded is much lower than in the US. This allows you to fill your vacancies with the best talent and no compromises in skill while also at a lower cost.

You might think that hiring candidates from all over the globe will be overwhelming and you may not be able to thoroughly assess each candidate. The volume of interested developers will, after all, be high. Well, remote hiring has a solution for that problem as well.

Hitting the Python Developer Key Skills Checklist with Remote Hiring 

Remote hiring solves two problems you will have when hiring Python developers. One is the dearth of talent when hiring locally and two is the flood of resumes when hiring globally.

Remote hiring of Python developers can be conducted in multiple ways. Among many, the SMART routes will be going for tech marketplaces, recruitment agencies, and talent networks.

The landscape of recruitment has changed drastically over the last few years. Now, there are more options available with regard to hiring. But, one has to adapt to this change to take full advantage of the changed recruitment procedures. And, such change can only happen when there is more awareness of the features and benefits of a process getting the most hype in the market. 


If you choose to go for our talent network platform, the process of hiring will get minimized into four quick steps:

  1. You share your job profile requirements in a well-documented format with all small and big particulars mentioned precisely.
  2. We will start scanning resumes and shortlist candidates to match your requirement, only if the right match is already not there in our vetted pool of software candidates.
  3. We will matchmake the right profiles with the needed Python developer skills. You interview the candidates we shortlist/matchmake with you, after a comprehensive assessment and screening process.
  4. We manage onboarding and all HR responsibilities while the Python developer delivers their optimal best to you.

And there you have it, a blueprint to hire the best Python developers for your company. If you choose to conduct the entire hiring process in-house, you have our checklist for screening the best developers. If you want to access global talent through a hassle-free process, choose remote hiring. Either way, you’ll be sure to get the best Python coders.